title: Multivariate analysis for spatial distribution of dissolved organic matters in a large river-type dam reservoir.
abstract: In contrast to extensive studies of dissolved organic matters (DOM) in natural lakes, the distributions and the characteristics of DOM in artificial dam reservoirs have not been well documented despite a growing demand for the construction worldwide. For this study, spatial variations in the concentrations and the characteristics of DOM in Lake Paldang, a large river-type dam reservoir, were investigated using the concentrations, the specific UV absorbance (SUVA), the synchronous fluorescence spectra and the molecular weight (MW(w)) values. In addition, environmental factors determining the DOM spatial distribution were examined based on a principal component analysis (PCA). Variations in the DOM characteristics were greater than those for the concentrations (1.1-2.4 mg C/L). In contrast to typical lakes, vertical variations with a depth were much smaller than those observed among horizontal sampling sites within the reservoir. Irrespective of the depth, four individual sampling locations were easily distinguished by comparison of some selected DOM characteristics. The protein-like fluorescence (PLF), MW(w) and SUVA values observed at the location near the dam exceeded the corresponding values for the sampling locations near major influent rivers, suggesting that, even for the river-type dam reservoir, the downstream DOM characteristics may be governed by in-lake DOM production processes such as the release from sediments and algal activities. The results of principal component analysis (PCA) revealed that approximately 61% of the variance in DOM distribution might be explained by allochthonous/autochthonous carbon sources and predominant presence of either total nitrogen or total phosphorous over the other.
authors.affiliation: Department of Environment and Energy, Sejong University, Seoul, 143-747, South Korea.
authors.forename: Hang Vo-Minh
authors.initials: HV
authors.lastname: Nguyen
authors.forename: Jae-Ki
authors.initials: JK
authors.lastname: Shin
authors.forename: Jin
authors.initials: J
authors.lastname: Hur
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D015999:Multivariate Analysis; D009930:Organic Chemicals / Q000032:analysis*; D025341:Principal Component Analysis; D045483:Rivers
chemical_list: D009930:Organic Chemicals